Woo, Simon S.

OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder

Khalid, H., & Woo, S. S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 197

Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series

Han, S., & Woo, S. S. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 137

FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning

Kim, M., Tariq, S., & Woo, S. S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 118

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Khalid, H., Tariq, S., Kim, M., & Woo, S. S. (2021) · arXiv

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 116

One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

Tariq, S., Lee, S., & Woo, S. (2021) · Proceedings of the Web Conference 2021

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 91

Fdftnet: facing off fake images using fake detection fine-tuning network

Jeon, H., Bang, Y., & Woo, S. S. (2020) · IFIP Advances in Information and Communication Technology

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 65

ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

Binh, L. M., & Woo, S. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 63

T-GD: Transferable GAN-generated Images Detection Framework

Jeon, H., Bang, Y., Kim, J., & Woo, S. S. (2020) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 38

Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning

Le, B. M., & Woo, S. S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 36

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users

Tariq, S., Woo, S. S., Singh, P., Irmalasari, I., Gupta, S., & Gupta, D. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Digital Media Forensic DetectionExplainable Artificial Intelligence (XAI)

Cited by 15

Deepfake Detection for Facial Images with Facemasks

Ko, D., Lee, S., Park, J., Shin, S., Hong, D., & Woo, S. S. (2022) · arXiv

Digital Media Forensic DetectionFace recognition and analysis

Cited by 10

RAAD: Reinforced Adversarial Anomaly Detector

Woo, S. S., Yoon, D., Gim, Y., & Park, E. (2024) · Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing

Anomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection

Cited by 7